Polygon
Label for Semantic & Instance Segmentation
- 1.Type label name in the "Name*" form
- 2.Choose Polygon from "Type*" dropdown
- 3.Select label color from "Color*" menu
- 4.Click "Create" button .

Polygons enable semantic and instance segmentation.
Architectures such as FCN and Mask R-CNN support polygons (or pixel masks) as input. Common use cases include visually segmenting the road, pedestrians, and cars for automated vehicles.

Pixels categorized for person, bike, and road.
This is useful for having classes associated with higher level instances. Example: drawing rectangles around birds for object detection, but having a class for types of bird within the rectangle (Duck, Geese, etc...).
- 1.Click "+ Add Sublables"
- 2.Type a sub-label name
- 3.Choose sub-label type
- 4.Fill out label options
- 5.Click "Save"
A Polygon schema element creates an array of objects with data consisting of an array of vertices. Each vertex is a XY coordinate relative (0.0 to 1.0) to width and height respectively. The last point is repeated indicating the Polygon is closed.
[
0:{
"type":"polygon"
"data":{
"points":[
0:[
0:0.55
1:0.58
]
1:[
0:0.79
1:0.72
]
2:[
0:0.58
1:0.92
]
3:[
0:0.33
1:0.71
]
4:[
0:0.55
1:0.58
]
]
}
}
]
Last modified 2yr ago